The widespread use of smartphones and sensors has made physiology, environment, and public health notifications amenable to continuous monitoring. Personalized digital health and patient empowerment can become a reality only if the complex multisensory and multimodal data is processed within the patient context, converting relevant medical knowledge into actionable information for better and timely decisions. We apply these principles in the healthcare domain of dementia. Specifically, in this study we validate one of our sensor platforms to ascertain whether it will be suitable for detecting physiological changes that may help us detect changes in people with dementia. This study shows our preliminary data collection results from six healt...
Abstract Background Alzheimer’s Disease (AD) impairs the ability to carry out daily activities, r...
For patients who have a senile mental disorder such as dementia, the quantity of exercise and amount...
OBJECTIVE: To show the feasibility of using different unobtrusive activity-sensing technologies to p...
The widespread use of smartphones and sensors has made physiology, environment, and public health no...
Background: The prevalence of dementia is expected to rapidly increase in the next decades, warranti...
ABSTRACT Objectives Researchers are increasingly recognising the potential for connected health de...
\ua9 2022 the Alzheimer\u27s Association. BACKGROUND: The Early Detection of Neurodegeneration (EDoN...
This paper presents the development of a sensor network for measuring the well-being of people with ...
Age related cognitive diseases are becoming a growing problem in Sweden. With the fast ageing popula...
Background: Mobile and wearable technology presents exciting opportunities for monitoring behavior u...
Wearable technologies are becoming an increasingly popular platform for healthcare services due to t...
Advancements in sensor technology has provided new ways for researchers to monitor the elderly in un...
Background: Persons living with dementia often encounter many difficulties in their community due to...
Cognitive function is an important end point of treatments in dementia clinical trials. Measuring co...
BackgroundThe past decades have seen phenomenal growth in the availability of inexpensive and powerf...
Abstract Background Alzheimer’s Disease (AD) impairs the ability to carry out daily activities, r...
For patients who have a senile mental disorder such as dementia, the quantity of exercise and amount...
OBJECTIVE: To show the feasibility of using different unobtrusive activity-sensing technologies to p...
The widespread use of smartphones and sensors has made physiology, environment, and public health no...
Background: The prevalence of dementia is expected to rapidly increase in the next decades, warranti...
ABSTRACT Objectives Researchers are increasingly recognising the potential for connected health de...
\ua9 2022 the Alzheimer\u27s Association. BACKGROUND: The Early Detection of Neurodegeneration (EDoN...
This paper presents the development of a sensor network for measuring the well-being of people with ...
Age related cognitive diseases are becoming a growing problem in Sweden. With the fast ageing popula...
Background: Mobile and wearable technology presents exciting opportunities for monitoring behavior u...
Wearable technologies are becoming an increasingly popular platform for healthcare services due to t...
Advancements in sensor technology has provided new ways for researchers to monitor the elderly in un...
Background: Persons living with dementia often encounter many difficulties in their community due to...
Cognitive function is an important end point of treatments in dementia clinical trials. Measuring co...
BackgroundThe past decades have seen phenomenal growth in the availability of inexpensive and powerf...
Abstract Background Alzheimer’s Disease (AD) impairs the ability to carry out daily activities, r...
For patients who have a senile mental disorder such as dementia, the quantity of exercise and amount...
OBJECTIVE: To show the feasibility of using different unobtrusive activity-sensing technologies to p...